PRE-PROCESSING ONTOLOGIES TO IMPROVE THE RESULTS OF MATCHERS

Abstract

Abstract– Ontology matching is one of the most important topics in many fields of semantic webresearch. The focus of ontology matching is on discovering semantic correspondence betweenentities of differently modelled ontologies of the same domain. Although there have been manyefforts on developing ontology matching tools, the results of matching process is not appealing. Inthis paper, a new approach is proposed in order to get a better result from matching process. In thisapproach a pre-processing phase is added to matchers for analysing and modifying inputontologies. Refactoring rules are utilized on detected inappropriate patterns. Matching algorithmsare then applied on the refactored ontologies. To evaluate our proposed approach two well-knownmatchers, RiMOM, and ASMOV, are used. Evaluation results show that our proposed approachimproved the quality of the matching process with respect to standard evaluation measurementssuch as precision, recall, and F-measure.